Multiomics and digital monitoring during lifestyle changes reveal independent dimensions of human biology and health

Francesco Marabita; Tojo James; Anu Karhu; Heidi Virtanen; K Kettunen; Hans C. Stenlund; Fredrik Boulund; Cecilia Hellström; Maja Neiman; Robert Mills; Teemu Perheentupa; Hannele M. Laivuori; Pyry Helkkula; Myles Byrne; Ilkka Jokinen; Harri Honko; Antti Kallonen; Miíkka Ermes; Heidi Similä; Mikko Lindholm; Elisabeth Widén; Samuli Ripatti; Maritta Perälä‐Heape; Lars G. Engstrand; Peter Nilsson; Thomas Möritz; Timo Miettinen; Riitta Sallinen; Olli Kallioniemi

doi:10.1016/j.cels.2021.11.001

Systems BiologyCell SystemsDec 1, 2021

Peer-reviewed journal article

Multiomics and digital monitoring during lifestyle changes reveal independent dimensions of human biology and health

Francesco Marabita iD, Tojo James, Anu Karhu, Heidi Virtanen, K Kettunen iD, Hans C. Stenlund iD, Fredrik Boulund iD, Cecilia Hellström iD, Maja Neiman, Robert Mills iD, Teemu Perheentupa, Hannele M. Laivuori iD, Pyry Helkkula iD, Myles Byrne iD, Ilkka Jokinen, Harri Honko iD, Antti Kallonen iD, Miíkka Ermes iD, Heidi Similä iD, Mikko Lindholm, Elisabeth Widén iD, Samuli Ripatti iD, Maritta Perälä‐Heape, Lars G. Engstrand iD, Peter Nilsson iD, , Olli Kallioniemi iD

Abstract

In order to explore opportunities for personalized and predictive health care, we collected serial clinical measurements, health surveys and multiomics profiles (genomics, proteomics, autoantibodies, metabolomics and gut microbiome) from 96 individuals. The participants underwent data-driven health coaching over a 16-month period with continuous digital monitoring of activity and sleep. Multiomics factor analysis resulted in an unsupervised, data-driven and integrated view of human health, revealing distinct and independent molecular factors linked to obesity, diabetes, liver function, cardiovascular disease, inflammation, immunity, exercise, diet and hormonal effects. The data revealed novel and previously uncovered associations between risk factors, molecular pathways, and quantitative lifestyle parameters. For example, ethinyl estradiol use had a distinct impact on metabolites, proteins and physiology. Multidimensional molecular and digital health signatures uncovered biological variability between people and quantitative effects of lifestyle changes, hence illustrating the value of the combined use of molecular and digital monitoring of human health.

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